A Composite Initialization Method for Phase Retrieval
Phase retrieval is a classical inverse problem with respect to recovering a signal from a system of phaseless constraints. Many recently proposed methods for phase retrieval such as PhaseMax and gradient-descent algorithms enjoy benign theoretical guarantees on the condition that an elaborate estima...
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2021
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oai:doaj.org-article:bb37edc8b1b04cc9ac9f5a426c00aae82021-11-25T19:05:58ZA Composite Initialization Method for Phase Retrieval10.3390/sym131120062073-8994https://doaj.org/article/bb37edc8b1b04cc9ac9f5a426c00aae82021-10-01T00:00:00Zhttps://www.mdpi.com/2073-8994/13/11/2006https://doaj.org/toc/2073-8994Phase retrieval is a classical inverse problem with respect to recovering a signal from a system of phaseless constraints. Many recently proposed methods for phase retrieval such as PhaseMax and gradient-descent algorithms enjoy benign theoretical guarantees on the condition that an elaborate estimate of true solution is provided. Current initialization methods do not perform well when number of measurements are low, which deteriorates the success rate of current phase retrieval methods. We propose a new initialization method that can obtain an estimate of the original signal with uniformly higher accuracy which combines the advantages of the null vector method and maximal correlation method. The constructed spectral matrix for the proposed initialization method has a simple and symmetrical form. A lower error bound is proved theoretically as well as verified numerically.Qi LuoShijian LinHongxia WangMDPI AGarticlephase retrievalspectral methodnon-convex reconstructionMathematicsQA1-939ENSymmetry, Vol 13, Iss 2006, p 2006 (2021) |
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phase retrieval spectral method non-convex reconstruction Mathematics QA1-939 |
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phase retrieval spectral method non-convex reconstruction Mathematics QA1-939 Qi Luo Shijian Lin Hongxia Wang A Composite Initialization Method for Phase Retrieval |
description |
Phase retrieval is a classical inverse problem with respect to recovering a signal from a system of phaseless constraints. Many recently proposed methods for phase retrieval such as PhaseMax and gradient-descent algorithms enjoy benign theoretical guarantees on the condition that an elaborate estimate of true solution is provided. Current initialization methods do not perform well when number of measurements are low, which deteriorates the success rate of current phase retrieval methods. We propose a new initialization method that can obtain an estimate of the original signal with uniformly higher accuracy which combines the advantages of the null vector method and maximal correlation method. The constructed spectral matrix for the proposed initialization method has a simple and symmetrical form. A lower error bound is proved theoretically as well as verified numerically. |
format |
article |
author |
Qi Luo Shijian Lin Hongxia Wang |
author_facet |
Qi Luo Shijian Lin Hongxia Wang |
author_sort |
Qi Luo |
title |
A Composite Initialization Method for Phase Retrieval |
title_short |
A Composite Initialization Method for Phase Retrieval |
title_full |
A Composite Initialization Method for Phase Retrieval |
title_fullStr |
A Composite Initialization Method for Phase Retrieval |
title_full_unstemmed |
A Composite Initialization Method for Phase Retrieval |
title_sort |
composite initialization method for phase retrieval |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/bb37edc8b1b04cc9ac9f5a426c00aae8 |
work_keys_str_mv |
AT qiluo acompositeinitializationmethodforphaseretrieval AT shijianlin acompositeinitializationmethodforphaseretrieval AT hongxiawang acompositeinitializationmethodforphaseretrieval AT qiluo compositeinitializationmethodforphaseretrieval AT shijianlin compositeinitializationmethodforphaseretrieval AT hongxiawang compositeinitializationmethodforphaseretrieval |
_version_ |
1718410301723901952 |